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2003-2005 - Special Collections - University of Baltimore

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ous models <strong>of</strong> negotiation and bargaining,<br />

highlighting similarities and differences in<br />

the models and methods <strong>of</strong> negotiation.<br />

Covers various stages <strong>of</strong> negotiation from<br />

pre-negotiation, ro negotiation proper, ro<br />

post-setrlemenr negotiation; and emphasizes<br />

rhe developmenr <strong>of</strong> skills through the<br />

use <strong>of</strong> role plays enabling rhe studenr ro<br />

apply theory ro cases.<br />

CNCM 515 Mediation: Theory and<br />

Practice (3) Introduces rhe theory and<br />

practice <strong>of</strong> mediation, and explores various<br />

models <strong>of</strong> rhe mediation process as well as<br />

diverging views concerning rhe role <strong>of</strong> the<br />

mediator. Key issues include: neurrality and<br />

bias on rhe parr <strong>of</strong> the mediator; confidentiality;<br />

codes <strong>of</strong> erhics for mediarors; and<br />

the current stams <strong>of</strong> legislation concerning<br />

the qualifications and licensing <strong>of</strong> mediators.<br />

Studenrs develop and practice mediation<br />

skills by acting as the mediaror in<br />

various scenarios that illustrate the process<br />

<strong>of</strong> mediation.<br />

CNCM 517 Arbitration: Theory and<br />

Practice (3) Introduces the theory and<br />

practice <strong>of</strong> arbitration, and explores rhe role<br />

<strong>of</strong> the arbirraror as an imparrial, third party<br />

whose task is ro "decide" issues berween<br />

parries ro a dispute. Focuses on arbirration<br />

in differenr conrexts, including collective<br />

bargaining and disputes berween managemenr<br />

and labor.<br />

CNCM 620 <strong>Special</strong> Topics (3) This<br />

course explores topics in rhe rhe field <strong>of</strong><br />

Negotiations and Conflict Management.<br />

The ropics vary according to rhe interest <strong>of</strong><br />

student and specialization <strong>of</strong> rhe faculty<br />

member. Prerequisites, ifany, to be determined<br />

by the instructor.<br />

CNCM 798 Capstone Course (3) The<br />

Capsrone Experience consists <strong>of</strong> rwo componenrs,<br />

a clinical experience and a reflective<br />

paper designed to inregrate theory and<br />

practice and to equip the studenr wirh a<br />

well-thought-our approach to future<br />

involvement and pr<strong>of</strong>essional practice in<br />

the field.<br />

Operations Research (OPRE)<br />

Operations Research courses are <strong>of</strong>fered by the<br />

Merrick School <strong>of</strong>Business.<br />

OPRE 504 Business Statistics (3)<br />

Statistical summary measures, probability,<br />

random variables, and their distributions.<br />

Estimation and hypothesis testing, correlation<br />

and regression analysis, ANOVA, and<br />

their applications to business problems are<br />

presenred. The use <strong>of</strong>statistical data analysis<br />

is an integral parr <strong>of</strong> rhis course.<br />

Prerequisite: Graduate standing.<br />

OPRE 640 Applied Management<br />

Science (3) Management science<br />

approaches in organizations, including<br />

modeling and rational approaches to decision<br />

making and their contriburion ro<br />

organizational effectiveness. Emphasizes<br />

analysis and communication using realworld<br />

application and cases. Topics<br />

include: linear programming and its extensions;<br />

integer programming; nerwork problems;<br />

and decision analysis as applied to<br />

tactical and srrategic business decisions in<br />

functional areas and inrerfaces among these<br />

areas. Prerequisites: prior or concurrent<br />

enrollment in M. B.A. core courses.<br />

OPRE 705 Decision Technologies:<br />

Deterministic Systems* (3) Deterministic<br />

systems and methods to improve rhe effectiveness<br />

<strong>of</strong> managerial decision making in<br />

both public and private organizations.<br />

Topics include optimization <strong>of</strong> linear, integer,<br />

nerwork and nonlinear systems,<br />

dynamic programming, and applications.<br />

Case studies and s<strong>of</strong>tware implementation<br />

<strong>of</strong> rhe models are emphasized. Data<br />

requirements, issues and problems in<br />

model development and implemenration,<br />

and the implications <strong>of</strong> model-based decision<br />

supporr systems are also discussed.<br />

Prerequisite: OPRE 640.<br />

167

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